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2009 WRI World Congress on Computer Science and Information Engineering
Subject Caption Detection in News Video with Complex Picture
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
We propose a method to detect story related subject captions in news video. This paper addresses two issues of caption detection problem. One is the time consuming in the feature computation, the other is the clutter of caption detection results. We first identify the subject caption region based on the frequency of text occurrence. After that, we detect the subject caption beginning frames. In this way, the computation time can be reduced significantly. Meanwhile, the uncorrected types of text are also filtered out, and only the subject caption is detected. Experimental results show that the proposed method can fast and robustly detect subject captions from news video.
Index Terms:
Caption Detection, news video retrieval
Citation:
Chien-Cheng Lee, Yu-Chun Chiang, Cheng-Yuan Shih, "Subject Caption Detection in News Video with Complex Picture," csie, vol. 6, pp.426-430, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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